Evaluation of Neonatal Tetanus Surveillance System in Sana'a city, Yemen (Preprint)

BACKGROUND The national Severe Acute Respiratory Illness surveillance system in Yemen was established in 2010 to monitor SARI occurrence in humans and provide a foundation for detecting SARI outbreaks. OBJECTIVE To ensure that the objectives of the national surveillance are being met, this study aimed to determine the level of usefulness and assess the performance of the SARI surveillance system in Yemen. METHODS The updated Centers for Disease Control and Prevention (CDC) guidelines were used for the purpose of evaluation. Related documents and reports were reviewed. Data were collected from four central-level managers and stakeholders, and from ten focal points at four Sentinel sites using semi-structured questionnaire. For each attribute, the score percent was calculated and ranked as the following: very poor (≤ 20 %), poor (>20-≤ 40%), average (>40-≤ 60%), good (>60-≤80 %) and excellent (>80 %). RESULTS As rated by the evaluators, SARI surveillance system achieved its targets. The system attributes flexibility (percent score: 86%) and acceptability (percent score: 82%) were rated as excellent, and simplicity (percent score: 74%) and stability (percent score: 75%) were rated as good. The percent score of timeliness was 23% in 2018, indicating poor timeliness. The overall data quality percent score of SARI system was 98.5%. Despite its many strengths, the SARI system has some weakness in that it depends on irregular external financial support. CONCLUSIONS Overall, the SARI surveillance system was useful in estimating morbidity and mortality, monitoring the trend of disease, stimulating researches to inform prevention and control measures. SARI surveillance system was excellent in flexibility, acceptability and data quality. Its simplicity and stability were good; its timeliness was poor. It is recommended to expand the system and engage private sites in SARI surveillance, establish an electronic database at central and peripheral levels, and provide the lab with the reagents needed for confirmation.

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An Evaluation of the Zambia Sentinel Surveillance System, 2011-2017

10.21203/rs.2.16794/v1 ◽

2019 ◽

Author(s):

paul simusika ◽

Stefano Tempia ◽

Edward Chentulo ◽

Lauren Polansky ◽

Mazyanga Mazaba ◽

...

Keyword(s):

Data Quality ◽

Surveillance System ◽

Low Cost ◽

Influenza Viruses ◽

Influenza Surveillance ◽

Surveillance Systems ◽

Quality Of Data ◽

African Countries ◽

Control And Prevention ◽

External Funds

Abstract Background Over the past decade, influenza surveillance has been established in several African countries including Zambia. However, information on the on data quality and reliability of established influenza surveillance systems in Africa are limited. Such information would enable countries to assess the performance of their surveillance systems, identify shortfalls for improvement and provide evidence of data reliability for policy making and public health interventions. Methods We used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza surveillance system (ISS) in Zambia during 2011-2017 using 9 attributes: (i) data quality and completeness, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability, (viii) utility, and (ix) sustainability. Each attribute was evaluated using pre-defined indicators. For each indicator we obtained the proportion (expressed as percentage) of the outcome of interest over the total. A scale from 1 to 3 was used to provide a score for each attribute as follows: <60% (as obtained in the calculation above) scored 1 (weak performance); 60-79% scored 2 (moderate performance); ≥80% scored 3 (good performance). An overall score for each attribute and the ISS was obtained by averaging the scores of all evaluated attributes. Results The overall mean score for the ISS in Zambia was 2.6. Key strengths of the system were the quality of data generated (score: 2.9), its flexibility (score: 3.0) especially to monitor viral pathogens other than influenza viruses, its simplicity (score: 2.8), acceptability (score: 3.0) and stability (score: 2.6) over the review period and its relatively low cost ($310,000 per annum). Identified weaknesses related mainly to geographic representativeness (score: 2.0), timeliness (score: 2.5), especially in shipment of samples from remote sites, and sustainability (score: 1.0) in the absence of external funds. Conclusions The system performed moderately well in our evaluation. Key improvements would include improvements in the timeliness of samples shipments and geographical coverage. However, these improvements would result in increased cost and logistical complexity. The ISSS in Zambia is largely reliant on external funds and the acceptability of maintaining the surveillance system through national funds would require evaluation.

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An Evaluation of the Zambia Influenza Sentinel Surveillance System, 2011-2017

10.21203/rs.2.16794/v2 ◽

2019 ◽

Author(s):

paul simusika ◽

Stefano Tempia ◽

Edward Chentulo ◽

Lauren Polansky ◽

Mazyanga Mazaba ◽

...

Keyword(s):

Data Quality ◽

Surveillance System ◽

Low Cost ◽

Influenza Viruses ◽

Influenza Surveillance ◽

Surveillance Systems ◽

Quality Of Data ◽

African Countries ◽

Control And Prevention ◽

External Funds

Abstract Background Over the past decade, influenza surveillance has been established in several African countries including Zambia. However, information on the on data quality and reliability of established influenza surveillance systems in Africa are limited. Such information would enable countries to assess the performance of their surveillance systems, identify shortfalls for improvement and provide evidence of data reliability for policy making and public health interventions. Methods We used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza surveillance system (ISS) in Zambia during 2011-2017 using 9 attributes: (i) data quality and completeness, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability, (viii) utility, and (ix) sustainability. Each attribute was evaluated using pre-defined indicators. For each indicator we obtained the proportion (expressed as percentage) of the outcome of interest over the total. A scale from 1 to 3 was used to provide a score for each attribute as follows: <60% (as obtained in the calculation above) scored 1 (weak performance); 60-79% scored 2 (moderate performance); ≥80% scored 3 (good performance). An overall score for each attribute and the ISS was obtained by averaging the scores of all evaluated attributes. Results The overall mean score for the ISS in Zambia was 2.6. Key strengths of the system were the quality of data generated (score: 2.9), its flexibility (score: 3.0) especially to monitor viral pathogens other than influenza viruses, its simplicity (score: 2.8), acceptability (score: 3.0) and stability (score: 2.6) over the review period and its relatively low cost ($310,000 per annum). Identified weaknesses related mainly to geographic representativeness (score: 2.0), timeliness (score: 2.5), especially in shipment of samples from remote sites, and sustainability (score: 1.0) in the absence of external funds. Conclusions The system performed moderately well in our evaluation. Key improvements would include improvements in the timeliness of samples shipments and geographical coverage. However, these improvements would result in increased cost and logistical complexity. The ISSS in Zambia is largely reliant on external funds and the acceptability of maintaining the surveillance system through national funds would require evaluation.

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An Evaluation of the Zambia Influenza Sentinel Surveillance System, 2011-2017

10.21203/rs.2.16794/v3 ◽

2019 ◽

Author(s):

paul simusika ◽

Stefano Tempia ◽

Edward Chentulo ◽

Lauren Polansky ◽

Mazyanga Lucy Mazaba ◽

...

Keyword(s):

Data Quality ◽

Surveillance System ◽

Low Cost ◽

Influenza Viruses ◽

Influenza Surveillance ◽

Surveillance Systems ◽

Quality Of Data ◽

African Countries ◽

Control And Prevention ◽

External Funds

Abstract Background Over the past decade, influenza surveillance has been established in several African countries including Zambia. However, information on the on data quality and reliability of established influenza surveillance systems in Africa are limited. Such information would enable countries to assess the performance of their surveillance systems, identify shortfalls for improvement and provide evidence of data reliability for policy making and public health interventions. Methods We used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza surveillance system (ISS) in Zambia during 2011-2017 using 9 attributes: (i) data quality and completeness, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability, (viii) utility, and (ix) sustainability. Each attribute was evaluated using pre-defined indicators. For each indicator we obtained the proportion (expressed as percentage) of the outcome of interest over the total. A scale from 1 to 3 was used to provide a score for each attribute as follows: <60% (as obtained in the calculation above) scored 1 (weak performance); 60-79% scored 2 (moderate performance); ≥80% scored 3 (good performance). An overall score for each attribute and the ISS was obtained by averaging the scores of all evaluated attributes. Results The overall mean score for the ISS in Zambia was 2.6. Key strengths of the system were the quality of data generated (score: 2.9), its flexibility (score: 3.0) especially to monitor viral pathogens other than influenza viruses, its simplicity (score: 2.8), acceptability (score: 3.0) and stability (score: 2.6) over the review period and its relatively low cost ($310,000 per annum). Identified weaknesses related mainly to geographic representativeness (score: 2.0), timeliness (score: 2.5), especially in shipment of samples from remote sites, and sustainability (score: 1.0) in the absence of external funds. Conclusions The system performed moderately well in our evaluation. Key improvements would include improvements in the timeliness of samples shipments and geographical coverage. However, these improvements would result in increased cost and logistical complexity. The ISSS in Zambia is largely reliant on external funds and the acceptability of maintaining the surveillance system through national funds would require evaluation.

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Measles Surveillance Attributes Assessment Based on The Puskesmas Surveilance Officers’ Perception in Surabaya

Jurnal Berkala Epidemiologi ◽

10.20473/jbe.v2i2.2014.171-183 ◽

2014 ◽

Vol 2 (2) ◽

pp. 171

Author(s):

Bilqis Elfira Maharani ◽

Arief Hargono

Keyword(s):

Data Quality ◽

Predictive Value ◽

Surveillance System ◽

Health Department ◽

Surveillance Systems ◽

Descriptive Research ◽

Control And Prevention ◽

Technical Guide ◽

The Republic ◽

The Stability

ABSTRACTMeasles is one of infectious diseases that potentially lead to death when complications occur. Based on the data from East Java Health Department, Surabaya is the area where the most measles cases occur in East Java and increase in the last three years. As one of measles controlling efforts, surveillance has been expected to provide qualified data and information as the basis for any decision making for a treatment or intervention. Therefore, an evaluation is needed in order to assure the effectiveness and efficiency of the surveillance application in achieving the goals. This study is a descriptive research aiming at evaluating the attributes of measles epidemiology surveillance system in Surabaya on 2012. The evaluation was done by assessing the attributes of surveillance then compared to Technical Guide for Measles Surveillance 2012, The Decree of The Health Ministry of The Republic of Indonesia No.1116/MENKES/SK/VIII/2003 On Guide for Conducting Surveillance System of Health Epidemiology and Guidelines for Evaluating Surveillance Systems from Center for Disease Control and Prevention 2001. The data collection method employed interview and observation or study documentation. The respondents of this study were 39 surveillance officers at 39 Puskesmas in Health Department Surabaya working area. The variabels of this study were simplicity, flexibility, data quality, acceptability, sensitivity, predictive value positive, representativeness, timeliness, and stability. The results of this study showed that the simplicity is complicated. The flexibility from CBMS is not flexible whereas the flexibility from EWARS is flexible. The data quality, acceptability, sensitivity and representativeness are low. The predictive value positive has not been able to be scored. The stability is high and the timeliness is punctual.Keywords: surveillance, evaluation, attribute, measles

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Performance Assessment of a Communicable Disease Surveillance System in Response to the Twin Earthquakes of East Azerbaijan

Disaster Medicine and Public Health Preparedness ◽

10.1017/dmp.2015.34 ◽

2015 ◽

Vol 9 (4) ◽

pp. 367-373 ◽

Cited By ~ 1

Author(s):

Javad Babaie ◽

Ali Ardalan ◽

Hasan Vatandoost ◽

Mohammad Mehdi Goya ◽

Ali Akbari Sari

Keyword(s):

Data Quality ◽

Surveillance System ◽

Disease Surveillance ◽

Communicable Disease ◽

Communicable Diseases ◽

Disease Surveillance System ◽

Health Authorities ◽

Control And Prevention ◽

Set Up ◽

East Azerbaijan

AbstractObjectiveFollowing the twin earthquakes on August 11, 2012, in the East Azerbaijan province of Iran, the provincial health center set up a surveillance system to monitor communicable diseases. This study aimed to assess the performance of this surveillance system.MethodsIn this quantitative-qualitative study, performance of the communicable diseases surveillance system was assessed by using the updated guidelines of the Centers for Disease Control and Prevention (CDC). Qualitative data were collected through interviews with the surveillance system participants, and quantitative data were obtained from the surveillance system.ResultsThe surveillance system was useful, simple, representative, timely, and flexible. The data quality, acceptability, and stability of the surveillance system were 65.6%, 10.63%, and 100%, respectively. The sensitivity and positive predictive value were not calculated owing to the absence of a gold standard.ConclusionsThe surveillance system satisfactorily met the goals expected for its setup. The data obtained led to the control of communicable diseases in the affected areas. Required interventions based on the incidence of communicable disease were designed and implemented. The results also reassured health authorities and the public. However, data quality and acceptability should be taken into consideration and reviewed for implementation in future disasters. (Disaster Med Public Health Preparedness. 2015;9:367–373)

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Measles Surveillance Attributes Assessment Based on The Puskesmas Surveilance Officers’ Perception in Surabaya

Jurnal Berkala Epidemiologi ◽

10.20473/jbe.v2i22014.171-183 ◽

2014 ◽

Vol 2 (2) ◽

pp. 171

Author(s):

Bilqis Elfira Maharani ◽

Arief Hargono

Keyword(s):

Data Quality ◽

Predictive Value ◽

Surveillance System ◽

Health Department ◽

Surveillance Systems ◽

Descriptive Research ◽

Control And Prevention ◽

Technical Guide ◽

The Republic ◽

The Stability

ABSTRACTMeasles is one of infectious diseases that potentially lead to death when complications occur. Based on the data from East Java Health Department, Surabaya is the area where the most measles cases occur in East Java and increase in the last three years. As one of measles controlling efforts, surveillance has been expected to provide qualified data and information as the basis for any decision making for a treatment or intervention. Therefore, an evaluation is needed in order to assure the effectiveness and efficiency of the surveillance application in achieving the goals. This study is a descriptive research aiming at evaluating the attributes of measles epidemiology surveillance system in Surabaya on 2012. The evaluation was done by assessing the attributes of surveillance then compared to Technical Guide for Measles Surveillance 2012, The Decree of The Health Ministry of The Republic of Indonesia No.1116/MENKES/SK/VIII/2003 On Guide for Conducting Surveillance System of Health Epidemiology and Guidelines for Evaluating Surveillance Systems from Center for Disease Control and Prevention 2001. The data collection method employed interview and observation or study documentation. The respondents of this study were 39 surveillance officers at 39 Puskesmas in Health Department Surabaya working area. The variabels of this study were simplicity, flexibility, data quality, acceptability, sensitivity, predictive value positive, representativeness, timeliness, and stability. The results of this study showed that the simplicity is complicated. The flexibility from CBMS is not flexible whereas the flexibility from EWARS is flexible. The data quality, acceptability, sensitivity and representativeness are low. The predictive value positive has not been able to be scored. The stability is high and the timeliness is punctual.Keywords: surveillance, evaluation, attribute, measles

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Evaluation of Rotavirus Surveillance System, Yemen 2018: Surveillance Evaluation (Preprint)

10.2196/preprints.27625 ◽

2021 ◽

Author(s):

Eman Larde ◽

Sharf Sharaf Alkuhlani ◽

Mohammed Abdullah Al Amad ◽

Abdulwahed Al Serouri ◽

Yousef Khader

Keyword(s):

Surveillance System ◽

Sensitivity Score ◽

Usefulness Score ◽

Control And Prevention ◽

Stability Data ◽

Public Health Surveillance System ◽

The Impact ◽

Depth Interviews ◽

Central Level ◽

Stability Score

BACKGROUND Rotavirus kills over 185,000 children under 5 every year and responsible for over one-third of all child diarrheal deaths worldwide. The Rotavirus Surveillance System (RVSS) in Yemen was launched in 2007 in five sentinel sites to monitor the impact of vaccine on rotavirus morbidity and mortality. OBJECTIVE This study aimed to determine the level of usefulness of the RVSS, assess its performance, and identify the strengths and weaknesses of the surveillance system implementation. METHODS The Centers for Disease Control and Prevention (CDC) updated guidelines on evaluation of a public health surveillance system was used to evaluate RVSS. In this assessment, qualitative indicators of usefulness and other attributes of the system including flexibility, stability, simplicity and acceptability were assessed through in-depth interviews with the stakeholders at central level and semi-structured questionnaires with sentinel sites coordinators. Furthermore, indicators for quantitative attributes including sensitivity, Positive Predictive Value (PPV), completeness and timeliness were assessed through reviewing results of laboratory samples and a random sample of case report forms. Scores for the indicators were expressed as following: poor: <60%, average: 60 - <80%, and good: ≥ 80%. RESULTS The overall usefulness score percent of the RVSS was 73%, which indicates an average rank. The RVSS was rated as good on flexibility (score percent = 91%) and stability (score percent = 81%) attributes and was rated as an average on simplicity (score percent = 77%) and acceptability (score percent = 76%) attributes. Regarding the quantitative attributes, the system was rated as poor for sensitivity (score percent = 91%), average for PPV (score percent = 73%) and good for completeness and timeliness (score percent = 100%). CONCLUSIONS The overall RVSS performance was an average. Although the system attributes demonstrated a good flexibility, stability, data quality and timeliness, some attributes still need enhancements. The system was rated “average” on the usefulness, simplicity, and acceptability and poor for the sensitivity. To ensure sustainability, there is a need for planning gradual replacement of donor’s fund with government’s funds. Gradual scaling up of the RVSS through increasing the number of sites and governorates, and enhancement of the sensitivity of the RVSS are strongly recommended.

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Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

International Journal of New Media Technology ◽

10.31937/ijnmt.v4i1.534 ◽

2017 ◽

Vol 4 (1) ◽

pp. 25-31 ◽

Cited By ~ 1

Author(s):

Diana Effendi

Keyword(s):

Data Quality ◽

Data Management ◽

Information Management ◽

Information Quality ◽

Quality Data ◽

Management Approach ◽

Quality Of Data ◽

Information Product ◽

Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management. Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

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Critical Review of Data Analytics techniques used in the Expanded Program on Immunization (EPI)

Current Medical Imaging Formerly Current Medical Imaging Reviews ◽

10.2174/1573405616666200625155042 ◽

2020 ◽

Vol 16 ◽

Author(s):

Sadaf Qazi ◽

Muhammad Usman

Keyword(s):

Machine Learning ◽

Developing Countries ◽

Data Analytics ◽

Public Health Intervention ◽

Cold Chain ◽

Data Repository ◽

Quality Of Data ◽

Mortality And Morbidity ◽

Healthcare Facilities ◽

Expanded Program On Immunization

Background: Immunization is a significant public health intervention to reduce child mortality and morbidity. However, its coverage, in spite of free accessibility, is still very low in developing countries. One of the primary reasons for this low coverage is the lack of analysis and proper utilization of immunization data at various healthcare facilities. Purpose: In this paper, the existing machine learning based data analytics techniques have been reviewed critically to highlight the gaps where this high potential data could be exploited in a meaningful manner. Results: It has been revealed from our review, that the existing approaches use data analytics techniques without considering the complete complexity of Expanded Program on Immunization which includes the maintenance of cold chain systems, proper distribution of vaccine and quality of data captured at various healthcare facilities. Moreover, in developing countries, there is no centralized data repository where all data related to immunization is being gathered to perform analytics at various levels of granularities. Conclusion: We believe that the existing non-centralized immunization data with the right set of machine learning and Artificial Intelligence based techniques will not only improve the vaccination coverage but will also help in predicting the future trends and patterns of its coverage at different geographical locations.

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